• DocumentCode
    2383420
  • Title

    On the relations between the BLMS algorithm and the generalized sliding DFT

  • Author

    Chung, Lkjoo

  • Author_Institution
    Dept. of Electron. Eng., Kangwon Nat. Univ., Chunchon, South Korea
  • Volume
    2
  • fYear
    1996
  • fDate
    26-29 Nov 1996
  • Firstpage
    580
  • Abstract
    The relations between the block LMS (BLMS) algorithm and the generalized sliding DFT (GSDFT) are established. The result shows that an N-point GSDFT with a sliding length L can be evaluated by multiplying the weight vector of the adaptive BLMS algorithm by the particular phasor components provided that the convergence factor μB and the sliding length L are properly chosen
  • Keywords
    adaptive signal processing; convergence of numerical methods; discrete Fourier transforms; least mean squares methods; BLMS algorithm; GSDFT; adaptive BLMS algorithm; adaptive signal processing; block LMS algorithm; convergence factor; generalized sliding DFT; phasor components; sliding length; weight vector; Adaptive filters; Convergence; Discrete Fourier transforms; Equations; Least squares approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-3679-8
  • Type

    conf

  • DOI
    10.1109/TENCON.1996.608406
  • Filename
    608406
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2383420